Vision Content / Vision Content for ٺƵ en Eye, Robot: Researchers Give Machines a New Perspective with Active Vision /blog/eye-robot-researchers-give-machines-new-perspective-active-vision <p><span lang="EN-US">When </span><a href="https://mae.ucdavis.edu/directory/iman-soltani"><span lang="EN-US">Iman Soltani</span></a><span lang="EN-US"> worked in the automotive industry, he studied assembly floors and noticed that each automated task had its specific robotic design.</span></p><p><span lang="EN-US">He also noticed that while a robot would need multiple cameras affixed to several locations for the best possible sightline, an operator on the assembly floor would move their head and neck to get the best view as they manipulated components.</span></p> November 26, 2024 - 2:46pm Andy Fell /blog/eye-robot-researchers-give-machines-new-perspective-active-vision Dried Goji Berries May Provide Protection Against Age-Related Vision Loss /health/news/dried-goji-berries-may-provide-protection-against-age-related-vision-loss Regularly eating a small serving of dried goji berries may provide protection against age-related macular degeneration, the leading cause of vision loss in seniors. January 13, 2022 - 9:00am Amy M Quinton /health/news/dried-goji-berries-may-provide-protection-against-age-related-vision-loss Visual Attention Drawn to Meaning, Not What Stands Out /news/visual-attention-drawn-meaning-not-what-stands-out <p>Our visual attention is drawn to parts of a scene that have meaning, rather than to those that are salient or “stick out,” according to new research from the Center for Mind and Brain at the University of California, Davis. The findings, published Sept. 25 in the journal <a href="http://rdcu.be/wbtf"><em>Nature Human Behavior</em></a>, overturn the widely-held model of visual attention.</p> <p>“A lot of people will have to rethink things,” said psychology professor John Henderson, who led the research. “The saliency hypothesis really is the dominant view.”</p> September 25, 2017 - 3:54pm Andy Fell /news/visual-attention-drawn-meaning-not-what-stands-out